{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>影响因素A</th>\n",
       "      <th>影响因素B</th>\n",
       "      <th>影响因素C</th>\n",
       "      <th>影响因素D</th>\n",
       "      <th>实验结果1</th>\n",
       "      <th>实验结果2</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>50</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
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       "      <td>32.5</td>\n",
       "      <td>0.482916</td>\n",
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       "      <td>50</td>\n",
       "      <td>25</td>\n",
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       "      <td>5</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.680000</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50</td>\n",
       "      <td>25</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.610000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>50</td>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>31.5</td>\n",
       "      <td>0.850000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50</td>\n",
       "      <td>30</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>30.5</td>\n",
       "      <td>0.960000</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "   影响因素A  影响因素B  影响因素C  影响因素D  实验结果1     实验结果2\n",
       "0     50     20     15     10   32.5  0.482916\n",
       "1     50     25     15      5   31.0  0.680000\n",
       "2     50     25     10     10   36.0  0.610000\n",
       "3     50     30     10      5   31.5  0.850000\n",
       "4     50     30      5     10   30.5  0.960000"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = pd.read_excel(r'C:\\Users\\碌卡\\Desktop\\python编程学习\\python数据分析\\测试数据.xlsx')\n",
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th>影响因素C</th>\n",
       "      <th>影响因素D</th>\n",
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       "      <td>10</td>\n",
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      "text/plain": [
       "   影响因素A  影响因素B  影响因素C  影响因素D\n",
       "0     50     20     15     10\n",
       "1     50     25     15      5\n",
       "2     50     25     10     10\n",
       "3     50     30     10      5\n",
       "4     50     30      5     10"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = test.iloc[:, :4] #取前四列数据\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>实验结果1</th>\n",
       "      <th>实验结果2</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>2</th>\n",
       "      <td>36.0</td>\n",
       "      <td>0.610000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31.5</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>30.5</td>\n",
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      "text/plain": [
       "   实验结果1     实验结果2\n",
       "0   32.5  0.482916\n",
       "1   31.0  0.680000\n",
       "2   36.0  0.610000\n",
       "3   31.5  0.850000\n",
       "4   30.5  0.960000"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target = test.iloc[:, 4:] #取前四列数据\n",
    "target.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>实验结果1</th>\n",
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       "      <th>0</th>\n",
       "      <td>32.5</td>\n",
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       "      <th>1</th>\n",
       "      <td>31.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>36.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31.5</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>30.5</td>\n",
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      ],
      "text/plain": [
       "   实验结果1\n",
       "0   32.5\n",
       "1   31.0\n",
       "2   36.0\n",
       "3   31.5\n",
       "4   30.5"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_1 = test.iloc[:, 4:5] #取前四列数据\n",
    "target_1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>实验结果2</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0.482916</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.680000</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.610000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.850000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.960000</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "      实验结果2\n",
       "0  0.482916\n",
       "1  0.680000\n",
       "2  0.610000\n",
       "3  0.850000\n",
       "4  0.960000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_2 = test.iloc[:, 5:] #取前四列数据\n",
    "target_2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1.         -0.75955453  0.          0.          0.62611294 -0.63936219]\n",
      " [-0.75955453  1.         -0.5547002  -0.33968311 -0.88052193  0.89449974]\n",
      " [ 0.         -0.5547002   1.          0.          0.49538634 -0.56237415]\n",
      " [ 0.         -0.33968311  0.          1.          0.38319277 -0.28532547]\n",
      " [ 0.62611294 -0.88052193  0.49538634  0.38319277  1.         -0.87663175]\n",
      " [-0.63936219  0.89449974 -0.56237415 -0.28532547 -0.87663175  1.        ]]\n"
     ]
    }
   ],
   "source": [
    "# 使用numpy进行相关性分析\n",
    "result_1 = np.corrcoef(test, rowvar=False)\n",
    "print(result_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用scipy进行相关性分析\n",
    "# 注意：scipy中没有计算相关性矩阵的方法，因此只能计算两个变量之间的相关性\n",
    "#  这里计算俩个试验结果之间的相关性，即target_1和target_2之间的相关性\n",
    "\n",
    "# import scipy.stats as ss\n",
    "\n",
    "# result_2 = ss.pearsonr(target_1.astype(int),target_2.astype(int))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          影响因素A     影响因素B     影响因素C     影响因素D     实验结果1     实验结果2\n",
      "影响因素A  1.000000 -0.759555  0.000000  0.000000  0.626113 -0.639362\n",
      "影响因素B -0.759555  1.000000 -0.554700 -0.339683 -0.880522  0.894500\n",
      "影响因素C  0.000000 -0.554700  1.000000  0.000000  0.495386 -0.562374\n",
      "影响因素D  0.000000 -0.339683  0.000000  1.000000  0.383193 -0.285325\n",
      "实验结果1  0.626113 -0.880522  0.495386  0.383193  1.000000 -0.876632\n",
      "实验结果2 -0.639362  0.894500 -0.562374 -0.285325 -0.876632  1.000000\n"
     ]
    }
   ],
   "source": [
    "# pandas 方法\n",
    "\n",
    "result_3 = test.corr()\n",
    "print(result_3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 24433 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 21709 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 22240 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 32032 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 23454 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 39564 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 32467 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 26524 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 24433 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 21709 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 22240 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 32032 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 23454 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 39564 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 32467 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 26524 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1a89d7b3190>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 24433 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 21709 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 22240 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 32032 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 23454 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 39564 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 32467 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 26524 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1080x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(test)\n",
    "# sns.pairplot(test , hue ='sepal_width');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 24433 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 21709 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 22240 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 32032 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 23454 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 39564 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 32467 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 26524 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 24433 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 21709 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 22240 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 32032 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 24433 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 21709 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 22240 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 32032 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 23454 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 39564 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 32467 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 26524 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 23454 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 39564 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 32467 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "F:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 26524 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 948.75x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(test , hue ='影响因素A');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x864 with 36 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "pd.plotting.scatter_matrix(test, figsize=(12,12),range_padding=0.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "figure, ax = plt.subplots(figsize=(12, 12))\n",
    "sns.heatmap(test.corr(), square=True, annot=True, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "11111"
   ]
  }
 ],
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